Research Sciences Resident (AI for Good) Intern

Location: Nairobi, Kenya

Duration: 6 months 

The AI for Good Research Lab uses AI and data to address some of the greatest challenges facing humanity. We are headquartered in Redmond, WA, and have an office in Nairobi, Kenya. We work on issues that will improve societies and environments with a focus on food and water security, disaster response and early warning, biodiversity and conservation. Our technical specialties are in areas as diverse as geospatial imagery, computer vision, bioacoustics, and language models. If you have experience in large language models, computer vision, statistics, and artificial intelligence, you have a fantastic opportunity to join the AI for Good team that is led by Microsoft’s Chief Data Scientist.

Required/Minimum Qualifications:

· Must be currently enrolled in a PhD program in Computer Science or a related STEM field.

· Must have at least 2 years of experience with modeling in Python.

· Must have at least 2 years of experience with deep learning models.

Preffered Requirements:

Experience with PyTorch or TensorFlow, particularly computer vision models.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, interns learn, collaborate, and network for life. Interns not only advance their own careers, but they also contribute to exciting research and development strides. Interns are paired with mentors and expected to collaborate with other interns and researchers, present findings, and contribute to the vibrant life of the community.